The consumers' response to product design: a narrative review

B Benaissa, M Kobayashi - Ergonomics, 2023 - Taylor & Francis
This paper reviews the research ideas around consumer response to product design. From
the product side, we discuss the most significant design features preferred by average …

What consumer complaints should hoteliers prioritize? Analysis of online reviews under different market segments

J Wu, N Zhao - Journal of Hospitality Marketing & Management, 2023 - Taylor & Francis
Due to rising competition and resource constraints, hoteliers need to understand which
consumer complaints are more important and severe to prioritize, an issue receiving less …

Understanding antecedents that affect customer evaluations of head-mounted display VR devices through text mining and deep neural network

Y Maeng, CC Lee, H Yun - Journal of Theoretical and Applied Electronic …, 2023 - mdpi.com
Although the market for Head-Mounted Display Virtual Reality (HMD VR) devices has been
growing along with the metaverse trend, the product has not been as widespread as initially …

Identifying promising technologies of electric vehicles from the perspective of market and technical attributes

L Feng, K Liu, J Wang, KY Lin, K Zhang, L Zhang - Energies, 2022 - mdpi.com
The vigorous development of electric vehicles (EVs) can promote the green and low-carbon
development of society and the environment. However, the research and development of …

E‐commerce sellers' ratings: Is user feedback adequate?

PK Das, T Kumar - International Journal of Consumer Studies, 2023 - Wiley Online Library
The literature on the theory of public procurement points out two well‐known informational
problems arising out of information asymmetry:(i) adverse selection and (ii) moral hazard. To …

A dynamic customer requirement mining method for continuous product improvement

Q Zhao, W Zhao, X Guo, K Zhang, M Yu - Autonomous Intelligent Systems, 2022 - Springer
The key to successful product development is better understanding of customer
requirements and efficiently identifying the product attributes. In recent years, a growing …

Performance Analysis of Logistic Regression Algorithm and Random Forest Algorithm for Predicting Product Review Analysis

DV Bhargav, R Dhanalakshmi - 2024 Ninth International …, 2024 - ieeexplore.ieee.org
This research intends to create an improved system for evaluating new product reviews. The
study will involve a comparison between the effectiveness of the Random Forest technique …

Analytical evaluation of big data applications in E-commerce: A mixed method approach

A Mohammadi, P Ahadi, A Fozooni… - Decision Science …, 2023 - m.growingscience.com
E-commerce is one of the industries most affected by big data, from collection to analytics in
the highly competitive market. Previous research on big data analytics in E-commerce …

Online Review Analysis from a Customer Behavior Observation Perspective for Product Development

YU Lee, SH Chung, JY Park - Sustainability, 2024 - mdpi.com
Observing customers is one of the methods to uncover their needs. By closely observing
how customers use products, we can indirectly experience their interactions and gain a …

Optimizing emotion–cause pair extraction task by using mutual assistance single-task model, clause position information and semantic features

J Shi, H Li, J Zhou, Z Pang, C Wang - The Journal of Supercomputing, 2022 - Springer
The traditional emotion–cause extraction task needs to give the exact emotion annotation
contained in the document before extracting the cause. Different from this, the emotion …